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Release VimeML V4.2 epoch20 FP32 and Core ML INT8 (GPL-2.0)
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# V4 uses 8K to move parameter capacity from embedding to the backbone.
# No test or blind text is consumed by this pipeline.
[paths]
corpus_dir = "outputs/corpus-fast-v1"
tokenizer_dir = "artifacts/tokenizers/v4-a/ja-unigram-8192"
tokenizer_experiment_dir = "artifacts/tokenizers/v4-a"
source_store_dir = "artifacts/token-data/corpus-v2-16k"
output_dir = "artifacts/token-data/corpus-v4-8k"
index_dir = "artifacts/training-data/corpus-v4-c128"
[encoding]
workers = 8
batch_size = 4096
chunk_mib = 128
[windows]
context_length = 128
[checks]
seed = 42
batch_size = 64
num_workers = 2
check_batches = 4